Projects per year
Abstract
We developed a novel miniature micro-lensed fibre probe for Raman spectroscopy. The fibre probe consists of a single negative-curvature fibre (NCF) and a spliced, cleaved, micro-lensed fibre cap. Using a single NCF, we minimized the Raman background generated from the silica and maintained the diameter of the probe at less than 0.5 mm. In addition, the cap provided fibre closure by blocking the sample from entering the hollow parts of the fibre, enabling the use of the probe in in vivo applications. Moreover, the micro-lensed cap offered an improved collection efficiency (1.5-times increase) compared to a cleaved end-cap. The sensing capabilities of the micro-lensed probe were demonstrated by measuring different concentrations of glucose in aqueous solutions.
Original language | English |
---|---|
Article number | 8434 |
Journal | Sensors |
Volume | 21 |
Issue number | 24 |
DOIs | |
Publication status | Published - 31 Dec 2021 |
Bibliographical note
Funding Information:Funding: The Research Council of Norway is acknowledged for its support for the Double Intraperitoneal Artificial Pancreas project (Centre for Digital Life Norway), project number 248872. We also acknowledge support from the UK Engineering and Physical Sciences Research Council (EP/S001123/1).
Keywords
- Fibre probe
- Hollow-core fibre
- Raman sensing
ASJC Scopus subject areas
- Analytical Chemistry
- Information Systems
- Atomic and Molecular Physics, and Optics
- Biochemistry
- Instrumentation
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Micro-lensed negative-curvature fibre probe for Raman spectroscopy'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Fellowship - Next Generation Endoscopes
Stone, J. (PI)
Engineering and Physical Sciences Research Council
30/05/20 → 29/11/21
Project: Research council
Datasets
-
Dataset for "Micro-lensed negative-curvature fibre probe for Raman spectroscopy"
Milenko, K. (Creator), Yerolatsitis, S. (Creator), Aksnes, A. (Creator), Hjelme, D. R. (Creator) & Stone, J. (Creator), University of Bath, 17 Dec 2021
DOI: 10.15125/BATH-01100
Dataset